Shri Vile Parle Kelvani Mandal's

Mithibai College of Arts, Chauhan Institute of Science and Amrutben Jivanlal College of Commerce and Economics

(Empowered Autonomous) Affiliated to University of Mumbai

NAAC Accredited 'A++' Grade, CGPA: 3.55 (November 2024)

Shri Vile Parle Kelvani Mandal's

Mithibai College of Arts, Chauhan Institute of Science and Amrutben
Jivanlal College of Commerce and Economics

(Empowered Autonomous) Affiliated to University of Mumbai

NAAC Accredited 'A++' Grade, CGPA: 3.55 (November 2024)

B.Sc.- Applied Statistics and Data Analytics (Honours)

Eligibility:

A candidate for being eligible for admission to the three years integrated course / program leading to the degree of bachelor of Science (B.Sc.) must have passed higher secondary school certificate examination (XII) in science stream conducted by the Maharashtra State Board of Secondary and Higher Secondary Education with Mathematics and Statistics as one of the subjects or its equivalent.

Must have passed at least the second year examination of the post S.S.C (X). Three-year Engineering Diploma Course conducted by / approved by / recognized by affiliated by the Maharashtra Board of Technical Education or another body board recognized as equivalent thereto.

Further, that such students of Engineering Diploma Courses will be eligible to offer admission to the F.Y.B.Sc. applied Statistics and Data Analytics (Honours).

Different topics covered:

  • Business Statistics
  • Mathematical Analysis
  • Introduction to C Programming
  • Database Management Systems
  • Mathematical Statistics
  • Discrete Mathematics
  • Introduction to R Programming
  • Data Analysis Using Excel
  • Probability and Distribution Theory
  • Analysis of Sample Survey Designs
  • Data Visualization with Power BI
  • Experimental Designs and Analysis
  • Numerical Analysis
  • Foundations of Python Programming
  • Parametric Estimation and Methods
  • Regression Modelling
  • Time Series Analysis and Forecasting
  • Lifetime Data Analysis
  • Data Dynamics on SAS and Tableau
  • Testing Statistical Hypotheses
  • Mathematics of Actuaries
  • Stochastic Models
  • Linear Algebra for Statistics
  • Operations Research
  • On Job Training